Lightweight modular toolkit to control Docker, automate GitHub tasks, and boost Claude Desktop workflows with browser automation and Brave Search.

Demonstrates NLP-driven network slice bookings using CAMARA API specs with OpenAPI validation and tool-based MCP exposure.

AI-driven meal planning that curates recipes, schedules weekly menus, and adapts to allergies and group size for personalized dining.

MCP(Model Context Protocol) 기술 학습을 위한 실험 환경입니다.

MCP(Model Context Protocol) works with local Ollama-Mistral

Integrates GoHighLevel with Model Context Protocol to enable seamless context sharing, automation, and cross-tool workflows.

Real-time vector search with multilingual embeddings and live folder monitoring for diverse documents.

Fetch, render, and convert web content to markdown via a modular toolset with Claude-friendly workflows and interactive UI.

Secure, standardized GitHub automation enabling AI assistants to manage repos, issues, PRs, and files with fine-grained permissions and extensible tooling.

Type-safe surface enabling precise cat image, breed, and favorites interactions with secure API key handling.

Efficient, token-aware context management with real-time WebSocket updates and secure authentication.

A scalable Model Context Protocol implementation for n8n that coordinates contexts across automations, enabling secure, reusable prompts and multi-tenant governance.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Type-safe MCP server enabling AI to manage Trello boards, lists, and cards with built-in rate limits.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Lightweight, customizable bridge enabling Copilot to leverage dynamic project context via a modular protocol, allowing rapid experimentation without heavy infrastructure.

Seamlessly links Copilot with contextual code guidance, enabling dynamic prompts and shared context to boost accuracy and learning.

Lightweight, extensible bridge that integrates MCP with Copilot for context-aware, prompt-driven code suggestions.